Emma Hu is an Assistant Professor in the School of Materials Science and Engineering, and an adjunct faculty member in the School of Chemistry and Biochemistry at Georgia Tech. Her group leverages quantum mechanical modeling combined with materials informatics to understand the underlying mechanisms of energy harvesting and utilization at the atomic level and reveal structure-property-performance relationships for knowledge/data-driven materials design. Emma’s group also develops and applies computational methods integrating machine learning with quantum mechanical modeling at different levels of theory for accurate and efficient modeling of quantum materials and complex interfaces to investigate the physical phenomena governing their functional properties.
Prior to joining GT, she then spent two years as a postdoctoral scholar in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory, and then as an Assistant Professor at City University of New York.
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Degrees
Emma Hu is an Assistant Professor in the School of Materials Science and Engineering, and an adjunct faculty member in the School of Chemistry and Biochemistry at Georgia Tech. Her group leverages quantum mechanical modeling combined with materials informatics to understand the underlying mechanisms of energy harvesting and utilization at the atomic level and reveal structure-property-performance relationships for knowledge/data-driven materials design. Emma’s group also develops and applies computational methods integrating machine learning with quantum mechanical modeling at different levels of theory for accurate and efficient modeling of quantum materials and complex interfaces to investigate the physical phenomena governing their functional properties.
Prior to joining GT, she then spent two years as a postdoctoral scholar in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory, and then as an Assistant Professor at City University of New York.
Degrees
Emma Hu is an Assistant Professor in the School of Materials Science and Engineering, and an adjunct faculty member in the School of Chemistry and Biochemistry at Georgia Tech. Her group leverages quantum mechanical modeling combined with materials informatics to understand the underlying mechanisms of energy harvesting and utilization at the atomic level and reveal structure-property-performance relationships for knowledge/data-driven materials design. Emma’s group also develops and applies computational methods integrating machine learning with quantum mechanical modeling at different levels of theory for accurate and efficient modeling of quantum materials and complex interfaces to investigate the physical phenomena governing their functional properties.
Prior to joining GT, she then spent two years as a postdoctoral scholar in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory, and then as an Assistant Professor at City University of New York.
